Abstract
In this paper, we compare a variety of sense-tagged sentiment resources, including SentiWordNet, ML-Senticon, plWordNet emo and the NTU Multilingual Corpus. The goal is to investigate the quality of the resources and see how well the sentiment polarity annotation maps across languages.- Anthology ID:
- 2019.gwc-1.46
- Volume:
- Proceedings of the 10th Global Wordnet Conference
- Month:
- July
- Year:
- 2019
- Address:
- Wroclaw, Poland
- Editors:
- Piek Vossen, Christiane Fellbaum
- Venue:
- GWC
- SIG:
- SIGLEX
- Publisher:
- Global Wordnet Association
- Note:
- Pages:
- 363–372
- Language:
- URL:
- https://aclanthology.org/2019.gwc-1.46
- DOI:
- Cite (ACL):
- Francis Bond, Arkadiusz Janz, and Maciej Piasecki. 2019. A Comparison of Sense-level Sentiment Scores. In Proceedings of the 10th Global Wordnet Conference, pages 363–372, Wroclaw, Poland. Global Wordnet Association.
- Cite (Informal):
- A Comparison of Sense-level Sentiment Scores (Bond et al., GWC 2019)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/2019.gwc-1.46.pdf